Data orchestration is a concept that has been growing in popularity in the past five years amid the rise of DataOps, which describes more agile approaches to data integration and data management. Data orchestration provides the capabilities to automate and accelerate the flow of data from multiple sources to support operational and analytics initiatives and drive business value.
At the highest level of abstraction, data orchestration covers three key capabilities: collection (including data ingestion, preparation, and cleansing); transformation (additionally including integration and enrichment); and activation (making the results available to compute engines, analytics and data science tools, or operational applications).
In addition to stand-alone data orchestration software products and cloud services, data orchestration capabilities are also being built into larger data-engineering platforms addressing broader data management requirements, including data observability, often in the context of data fabric and data mesh.
"The increasing reliance on real-time data is driving requirements for more agile, continuous data processing enabled by data orchestration,” said Matt Aslett, VP and Research Director at Ventana Research. “Traditional approaches to data management rooted in point-to-point batch data processing are unsuitable for the demands of modern analytics environments, which instead require agile data pipelines that can traverse multiple data-processing locations and can evolve in response to changing data sources and business requirements.”
The Buyers Guide for Data Orchestration evaluates the following vendors that offer products that address key elements of data orchestration as we define it: Alteryx, AWS, Astronomer, BMC, Databricks, DataKitchen, Google, Hitachi Vantara, IBM, Infoworks.io, Matillion, Microsoft, Prefect, Rivery, Saagie, SAP, Stonebranch, StreamSets, and Y42.
The research finds IBM atop the list, followed by Microsoft and Alteryx. Companies that place in the top three of a category earn the designation of Leader. Alteryx, IBM, and Microsoft have done so in four of the seven categories; Databricks in three; Google in two; and AWS, BMC, Hitachi Vantara, and SAP in one category.
The research places vendors into one of four overall categories: Exemplary, Innovative, Assurance, or Merit. This representation classifies vendors’ weighted performance overall in Product Experience and Customer Experience. The vendors were awarded the following categories:
This Ventana Research Buyers Guide for Data Orchestration is the distillation of over a year of market and product research efforts. It is an assessment of how well vendors’ offerings will address organizations’ requirements for data orchestration software. The index is structured to support a request for information (RFI) that could be used in the RFP process by incorporating all criteria needed to evaluate, select, utilize, and maintain relationships with technology vendors. An effective product and customer experience with a technology vendor can ensure the best long-term relationship and value achieved from a resource and financial investment.
The structure of the research reflects our understanding that the effective evaluation of vendors and products involves far more than just examining product features, potential revenue, or customers generated from a vendor’s marketing and sales efforts. We believe it is important to take a comprehensive research-based approach since making the wrong choice of a data orchestration technology can raise the total cost of ownership, lower the return on investment, and hamper an organization’s ability to reach its potential performance. In addition, this approach can reduce the project’s development and deployment time and eliminate the risk of relying on a short list of vendors that do not represent the best fit for your organization.
“Information architectures have become more complex requiring integration and coordination among many different data processes and technologies,” said David Menninger, SVP and Research Director at Ventana Research. “Data orchestration tools provide the tools to ensure these processes are running smoothly. This Buyers Guide helps organizations understand and evaluate vendors in this new and emerging category.”
The Buyers Guide for Data Orchestration is neither sponsored nor influenced by technology vendors and is conducted solely in pursuit of Ventana Research's mission to provide value to business and IT through the Consulting, Advisory, Research, and Education (CARE) portfolio of services. Ventana Research's goal is to help guide organizations to optimal efficiency in their use of technology investments for business and IT. Please click here to learn more and read the Buyers Guide for Data Orchestration.
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